Applied Scientist jobs at Amazon in Germany, Berlin

Key job responsibilities
In this role you will:
• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in computer vision, robotics or other related technical fields #
* Experience in item perception and manipulation
* Proficiency in technologies relevant to the subfield

• Ability to independently deliver results in a fast-paced environment
• Publications at top-tier, peer-reviewed conferences and/or journals
• Exceptional verbal and written communication skills
• Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

As an applied scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for ML Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilities
As a Senior ML Applied Scientist, you will* Collaborate with ML scientists and architects to research, design, develop, and evaluate state-of-the-art generative AI algorithms to address real-world challenges across industries* Create and deliver best practice recommendations, scientific artifacts, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders* Effectively communicate complex ML results and insights to diverse audiences, translating technical concepts for non-technical stakeholders while providing appropriate depth for technical audiences in both public-facing publications and internal knowledge sharing sessions
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

* PhD degree in CS, CE and several years (or MSc and 7+ years) of experience in building machine learning models for business applications
* Experience with neural deep learning methods and machine learning
* Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or MxNet
* Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to technical and non-technical audiences
* Fluency in written and spoken English

* Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
* Proven knowledge of AWS platform and tools
* Hands-on experience of building ML solutions on AWS
* Experience in professional software development
* Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

Please note this is a fixed term contract until July 2026Key job responsibilities
- Create Innovative ML Solutions for Customized Musical Joy. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions.
A day in the life

- Experience programming or scripting language like Python, Java, C or C++
- Experience in building models for business application
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)

We are looking for a passionate, talented and inventive Applied Scientist to develop industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs). In this role, you will innovate in the fastest-moving fields of current AI research, in particular developing state-of-the-art foundation models capable of processing a broad range of prompts and information in many languages.Key job responsibilities
- Design and execute experiments to evaluate the performance of post-training algorithms and data, and iterate quickly to improve results.- Work with peers to develop novel algorithms or modeling techniques to advance the state of the art with LLMs.

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in designing experiments and statistical analysis of results
- Experience programming in Java, C++, Python or related language
- Experience with deep learning and/or machine learning, post-training techniques for LLMs (SFT, DPO, PPO etc.), natural language processing.

Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.A day in the life• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.Please note these are not remote internships.

- Experience programming in Java, C++, Python or related language
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields

Key job responsibilities
Solve complex optimization and machine learning problems using scalable algorithmic techniques.Lead complex time-bound, long-term as well as ad-hoc analyses to assist decision making.
A day in the life
You will be brainstorming algorithmic approaches with team-mates to solve challenging problems for Amazon logistics operations.You will be developing and testing prototype solutions with above algorithmic techniques.You will be scavenging information from the sea of Amazon data to improve these solutions.You will be meeting with other scientists, engineers, stakeholders and customers to enhance the solutions and get them adopted.
We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization and approximation algorithms.We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making.We code our prototypes to be production-readyWe prefer provably optimal solutions than heuristics, though we settle for heuristics when performance dictates it. Overall, we appreciate the value of correct modeling.

PhD and experience in computer science, optimization and/or ML or related field
Experience in building models for business application
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Python, Java or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Experience in professional software development
Experience in solving large-scale problems
Experience in dealing with ambiguity

As an Applied Scientist, you love designing, implementing, and evaluating machine learning solutions to difficult applied problems, and diving into complex data sources crawled from the web or internal logging tools. You are recognized for your expertise and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.Key job responsibilities- Own the technical quality of a product where modeling improvements can improve technical designs and drive value for other scientists and engineers
- Understand the challenges that developers face when building cloud-based solutions, and develop generalizable solutions.- Communicate and document your research by writing internal documents, giving talks/demos, and striving to publish papers in external scientific venues.A day in the life
Utility Computing (UC)About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Are enrolled in or have completed a PhD
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development